From his cramped cubicle, David glared at the screen. His meticulously researched blog post, a deep dive into the history of silent films, was now online under the banner of "Trendy Tech Trends," written by a "content creator" he’d never heard of. David wanted to take a hammer to the computer.

He leaned back in his chair, trying to breathe, but it was like trying to inhale underwater. The fluorescent lights overhead seemed to buzz louder, the air conditioning whirred in a maddening loop. He couldn't keep doing this.

The clock ticked. Each second a fresh stab of fury. He thought about the hours he spent researching, cross-referencing, editing. The passion project was reduced to a few words on a computer. He felt a throbbing ache behind his eyes.

Emotion: exasperated

Cluster: Anger / Hostility
PC1 (Valence): -0.99 Negative
PC2 (Disposition): 1.23

Role in Research

This story is one of 1,000 stories generated for the emotion exasperated. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 exasperated stories, after denoising with neutral dialogue baselines, produces the exasperated emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the exasperated vector is projected through the unembedding matrix.

Promoted:
S0.435
l0.378
P0.331
que0.320
la0.269
Suppressed:
own-0.433
gradually-0.254
soon-0.248
unfolding-0.216
joyful-0.216